{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "corresponding-armstrong",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-05-05T04:58:05.692448Z",
     "start_time": "2022-05-05T04:58:05.688565Z"
    }
   },
   "source": [
    "## Загрузка данных"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4eb9d950",
   "metadata": {},
   "source": [
    "Задача от обсерватории «Небо на ладони»: придумать, как с помощью нейросети определять температуру на поверхности обнаруженных звёзд. Обычно для расчёта температуры учёные пользуются следующими методами:\n",
    "Закон смещения Вина.\n",
    "Закон Стефана-Больцмана.\n",
    "Спектральный анализ.\n",
    "Каждый из них имеет плюсы и минусы. Обсерватория хочет внедрить технологии машинного обучения для предсказания температуры звёзд, надеясь, что этот метод будет наиболее точным и удобным.\n",
    "В базе обсерватории есть характеристики уже изученных 240 звёзд."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "f2bef991",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: phik in /opt/conda/lib/python3.9/site-packages (0.12.4)\n",
      "Requirement already satisfied: pandas>=0.25.1 in /opt/conda/lib/python3.9/site-packages (from phik) (1.2.4)\n",
      "Requirement already satisfied: matplotlib>=2.2.3 in /opt/conda/lib/python3.9/site-packages (from phik) (3.3.4)\n",
      "Requirement already satisfied: scipy>=1.5.2 in /opt/conda/lib/python3.9/site-packages (from phik) (1.9.1)\n",
      "Requirement already satisfied: joblib>=0.14.1 in /opt/conda/lib/python3.9/site-packages (from phik) (1.1.0)\n",
      "Requirement already satisfied: numpy>=1.18.0 in /opt/conda/lib/python3.9/site-packages (from phik) (1.21.1)\n",
      "Requirement already satisfied: cycler>=0.10 in /opt/conda/lib/python3.9/site-packages (from matplotlib>=2.2.3->phik) (0.11.0)\n",
      "Requirement already satisfied: kiwisolver>=1.0.1 in /opt/conda/lib/python3.9/site-packages (from matplotlib>=2.2.3->phik) (1.4.4)\n",
      "Requirement already satisfied: python-dateutil>=2.1 in /opt/conda/lib/python3.9/site-packages (from matplotlib>=2.2.3->phik) (2.8.1)\n",
      "Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.3 in /opt/conda/lib/python3.9/site-packages (from matplotlib>=2.2.3->phik) (2.4.7)\n",
      "Requirement already satisfied: pillow>=6.2.0 in /opt/conda/lib/python3.9/site-packages (from matplotlib>=2.2.3->phik) (8.4.0)\n",
      "Requirement already satisfied: pytz>=2017.3 in /opt/conda/lib/python3.9/site-packages (from pandas>=0.25.1->phik) (2021.1)\n",
      "Requirement already satisfied: six>=1.5 in /opt/conda/lib/python3.9/site-packages (from python-dateutil>=2.1->matplotlib>=2.2.3->phik) (1.16.0)\n"
     ]
    }
   ],
   "source": [
    "!pip install phik"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "spectacular-folder",
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "import phik\n",
    "import torch\n",
    "import torch.nn as nn\n",
    "\n",
    "from phik import report\n",
    "from phik.report import plot_correlation_matrix\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.preprocessing import OneHotEncoder, StandardScaler"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "754c78a3",
   "metadata": {},
   "outputs": [],
   "source": [
    "RANDOM_STATE = 222222"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "4e7cff9f",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv(\"/datasets/6_class.csv\", index_col=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "7a6714c0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Temperature (K)</th>\n",
       "      <th>Luminosity(L/Lo)</th>\n",
       "      <th>Radius(R/Ro)</th>\n",
       "      <th>Absolute magnitude(Mv)</th>\n",
       "      <th>Star type</th>\n",
       "      <th>Star color</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>3068</td>\n",
       "      <td>0.002400</td>\n",
       "      <td>0.1700</td>\n",
       "      <td>16.12</td>\n",
       "      <td>0</td>\n",
       "      <td>Red</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>3042</td>\n",
       "      <td>0.000500</td>\n",
       "      <td>0.1542</td>\n",
       "      <td>16.60</td>\n",
       "      <td>0</td>\n",
       "      <td>Red</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2600</td>\n",
       "      <td>0.000300</td>\n",
       "      <td>0.1020</td>\n",
       "      <td>18.70</td>\n",
       "      <td>0</td>\n",
       "      <td>Red</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2800</td>\n",
       "      <td>0.000200</td>\n",
       "      <td>0.1600</td>\n",
       "      <td>16.65</td>\n",
       "      <td>0</td>\n",
       "      <td>Red</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1939</td>\n",
       "      <td>0.000138</td>\n",
       "      <td>0.1030</td>\n",
       "      <td>20.06</td>\n",
       "      <td>0</td>\n",
       "      <td>Red</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2840</td>\n",
       "      <td>0.000650</td>\n",
       "      <td>0.1100</td>\n",
       "      <td>16.98</td>\n",
       "      <td>0</td>\n",
       "      <td>Red</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2637</td>\n",
       "      <td>0.000730</td>\n",
       "      <td>0.1270</td>\n",
       "      <td>17.22</td>\n",
       "      <td>0</td>\n",
       "      <td>Red</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2600</td>\n",
       "      <td>0.000400</td>\n",
       "      <td>0.0960</td>\n",
       "      <td>17.40</td>\n",
       "      <td>0</td>\n",
       "      <td>Red</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2650</td>\n",
       "      <td>0.000690</td>\n",
       "      <td>0.1100</td>\n",
       "      <td>17.45</td>\n",
       "      <td>0</td>\n",
       "      <td>Red</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2700</td>\n",
       "      <td>0.000180</td>\n",
       "      <td>0.1300</td>\n",
       "      <td>16.05</td>\n",
       "      <td>0</td>\n",
       "      <td>Red</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Temperature (K)  Luminosity(L/Lo)  Radius(R/Ro)  Absolute magnitude(Mv)  \\\n",
       "0             3068          0.002400        0.1700                   16.12   \n",
       "1             3042          0.000500        0.1542                   16.60   \n",
       "2             2600          0.000300        0.1020                   18.70   \n",
       "3             2800          0.000200        0.1600                   16.65   \n",
       "4             1939          0.000138        0.1030                   20.06   \n",
       "5             2840          0.000650        0.1100                   16.98   \n",
       "6             2637          0.000730        0.1270                   17.22   \n",
       "7             2600          0.000400        0.0960                   17.40   \n",
       "8             2650          0.000690        0.1100                   17.45   \n",
       "9             2700          0.000180        0.1300                   16.05   \n",
       "\n",
       "   Star type Star color  \n",
       "0          0        Red  \n",
       "1          0        Red  \n",
       "2          0        Red  \n",
       "3          0        Red  \n",
       "4          0        Red  \n",
       "5          0        Red  \n",
       "6          0        Red  \n",
       "7          0        Red  \n",
       "8          0        Red  \n",
       "9          0        Red  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "1d3de7ff",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>count</th>\n",
       "      <th>mean</th>\n",
       "      <th>std</th>\n",
       "      <th>min</th>\n",
       "      <th>50%</th>\n",
       "      <th>max</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Temperature (K)</th>\n",
       "      <td>240.0</td>\n",
       "      <td>10497.462500</td>\n",
       "      <td>9552.425037</td>\n",
       "      <td>1939.00000</td>\n",
       "      <td>5776.0000</td>\n",
       "      <td>40000.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Luminosity(L/Lo)</th>\n",
       "      <td>240.0</td>\n",
       "      <td>107188.361635</td>\n",
       "      <td>179432.244940</td>\n",
       "      <td>0.00008</td>\n",
       "      <td>0.0705</td>\n",
       "      <td>849420.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Radius(R/Ro)</th>\n",
       "      <td>240.0</td>\n",
       "      <td>237.157781</td>\n",
       "      <td>517.155763</td>\n",
       "      <td>0.00840</td>\n",
       "      <td>0.7625</td>\n",
       "      <td>1948.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Absolute magnitude(Mv)</th>\n",
       "      <td>240.0</td>\n",
       "      <td>4.382396</td>\n",
       "      <td>10.532512</td>\n",
       "      <td>-11.92000</td>\n",
       "      <td>8.3130</td>\n",
       "      <td>20.06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Star type</th>\n",
       "      <td>240.0</td>\n",
       "      <td>2.500000</td>\n",
       "      <td>1.711394</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>2.5000</td>\n",
       "      <td>5.00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                        count           mean            std         min  \\\n",
       "Temperature (K)         240.0   10497.462500    9552.425037  1939.00000   \n",
       "Luminosity(L/Lo)        240.0  107188.361635  179432.244940     0.00008   \n",
       "Radius(R/Ro)            240.0     237.157781     517.155763     0.00840   \n",
       "Absolute magnitude(Mv)  240.0       4.382396      10.532512   -11.92000   \n",
       "Star type               240.0       2.500000       1.711394     0.00000   \n",
       "\n",
       "                              50%        max  \n",
       "Temperature (K)         5776.0000   40000.00  \n",
       "Luminosity(L/Lo)           0.0705  849420.00  \n",
       "Radius(R/Ro)               0.7625    1948.50  \n",
       "Absolute magnitude(Mv)     8.3130      20.06  \n",
       "Star type                  2.5000       5.00  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe(percentiles=[.5]).T"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "c12241fc",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 240 entries, 0 to 239\n",
      "Data columns (total 6 columns):\n",
      " #   Column                  Non-Null Count  Dtype  \n",
      "---  ------                  --------------  -----  \n",
      " 0   Temperature (K)         240 non-null    int64  \n",
      " 1   Luminosity(L/Lo)        240 non-null    float64\n",
      " 2   Radius(R/Ro)            240 non-null    float64\n",
      " 3   Absolute magnitude(Mv)  240 non-null    float64\n",
      " 4   Star type               240 non-null    int64  \n",
      " 5   Star color              240 non-null    object \n",
      "dtypes: float64(3), int64(2), object(1)\n",
      "memory usage: 13.1+ KB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "ea81f74e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Количество дублированных строк: 0'"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "display(f\"Количество дублированных строк: {df.duplicated().sum()}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "98a77d2a",
   "metadata": {},
   "source": [
    "## Предобработка и анализ данных"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6523a78f",
   "metadata": {},
   "source": [
    "### Анализ первоначальных данных"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "8129abf2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Создаем график\n",
    "plt.figure(figsize=(14, 8)) # Задаем размер графика\n",
    "\n",
    "# Строим график с помощью функции plot\n",
    "plt.plot(df['Temperature (K)']) # Замените 'column_name' на название вашего столбца\n",
    "\n",
    "# Добавляем заголовок и метки осей\n",
    "plt.title('График по столбцу dataframe')\n",
    "plt.xlabel('star id')\n",
    "plt.ylabel('Temperature (K)')\n",
    "\n",
    "# Отображаем график\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2b12dff1",
   "metadata": {},
   "source": [
    "Звёзды делятся на разные классы и виды по температуре. Вот эти классы и виды:\n",
    "\n",
    "Звёзды класса A — имеют небольшую температуру в 7 500–10 000 Кельвинов. Светятся белым светом.\n",
    "Звёзды класса B — имеют температуру в 10 000 — 30 000 К. Светятся бело-голубым светом.\n",
    "Звёзды класса F — имеют температуру в 6 000 — 7 500 К. Истинный цвет — жёлто-белый.\n",
    "Звёзды класса G — имеют температуру в 5 000 — 6 000 К. Светятся жёлтым светом, как и в небе.\n",
    "Звёзды класса K — имеют температуру в 3 500 — 5 000 К. Светятся оранжевым. В небе видны как жёлтовато-оранжевые.\n",
    "Звёзды класса M — имеют низкую температуру в 2 000–3 500 К. Светятся красным, в небе можно увидеть их как оранжево-красные.\n",
    "Звёзды класса O — имеют высокую температуру в 30 000 — 60 000 К. Светятся голубым светом, как и в небе."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "cdd36803",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Создаем график\n",
    "plt.figure(figsize=(14, 8)) # Задаем размер графика\n",
    "\n",
    "# Строим график с помощью функции plot\n",
    "plt.plot(df['Luminosity(L/Lo)']) # Замените 'column_name' на название вашего столбца\n",
    "\n",
    "# Добавляем заголовок и метки осей\n",
    "plt.title('График по столбцу dataframe')\n",
    "plt.xlabel('star id')\n",
    "plt.ylabel('Luminosity(L/Lo)')\n",
    "\n",
    "# Отображаем график\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3f7ac84f",
   "metadata": {},
   "source": [
    "Тут делим по светимости на солнцеподобные и те, что выше солнца. Очень низкая, низкая, средняя, высокая, очень высокая"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "acb0f4b1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Создаем график\n",
    "plt.figure(figsize=(14, 8)) # Задаем размер графика\n",
    "\n",
    "# Строим график с помощью функции plot\n",
    "plt.plot(df['Radius(R/Ro)']) # Замените 'column_name' на название вашего столбца\n",
    "\n",
    "# Добавляем заголовок и метки осей\n",
    "plt.title('График по столбцу dataframe')\n",
    "plt.xlabel('star id')\n",
    "plt.ylabel('Radius(R/Ro)')\n",
    "\n",
    "# Отображаем график\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f276f658",
   "metadata": {},
   "source": [
    "По радиусу очень маленькие, маленькие, средние, большие, очень большие "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "04674de5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Создаем график\n",
    "plt.figure(figsize=(14, 8)) # Задаем размер графика\n",
    "\n",
    "# Строим график с помощью функции plot\n",
    "plt.plot(df['Absolute magnitude(Mv)']) # Замените 'column_name' на название вашего столбца\n",
    "\n",
    "# Добавляем заголовок и метки осей\n",
    "plt.title('График по столбцу dataframe')\n",
    "plt.xlabel('star id')\n",
    "plt.ylabel('Absolute magnitude(Mv)')\n",
    "\n",
    "# Отображаем график\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "113d482c",
   "metadata": {},
   "source": [
    "По магнитуде, маленькие, средние, большие, очень большие "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "99115f78",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df['Star type'].hist(bins=12, legend=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "4d4db867",
   "metadata": {},
   "outputs": [],
   "source": [
    "def print_pie(grouped):\n",
    "    sizes = grouped\n",
    "    labels = grouped.index\n",
    "\n",
    "    fig1, ax1 = plt.subplots(figsize=(6, 5))\n",
    "    fig1.subplots_adjust(0.3,0,1.5,1)\n",
    "\n",
    "\n",
    "    theme = plt.get_cmap('bwr')\n",
    "    ax1.set_prop_cycle(\"color\", [theme(1.3 * i / len(sizes)) for i in range(len(sizes))])\n",
    "\n",
    "    ax1.pie(sizes, startangle=90)\n",
    "\n",
    "    ax1.axis('equal')\n",
    "\n",
    "    total = sum(sizes)\n",
    "    plt.legend(\n",
    "        loc='upper left',\n",
    "        labels=['%s, %1.1f%%' % (\n",
    "            l, (float(s) / total) * 100) for l, s in zip(labels, sizes)],\n",
    "        prop={'size': 11},\n",
    "        bbox_to_anchor=(0.0, 1),\n",
    "        bbox_transform=fig1.transFigure\n",
    "    )\n",
    "\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "c6484201",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "grouped = df.groupby('Star color').size()\n",
    "print_pie(grouped)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "627302dd",
   "metadata": {},
   "source": [
    "Вывод: В категориальной переменной \"Star color\" много неявных дубликатов. В остальном ни выбывающихся значений, ни пропусков, ни явных дубликатов не наблюдается. Остаётся только исправиить значения колонки \"Star color\", построить хитмап корреляции параметров и упростить названия колонок для дальнейшей работы."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4d7ae604",
   "metadata": {},
   "source": [
    "### Предобработка данных"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "68e54baf",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Изменим имеющиеся названия столбцов путем упрощения\n",
    "df.columns = ['temp', 'luminosity', 'radius', 'magnitude', 'type', 'color']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "0c475f35",
   "metadata": {},
   "outputs": [],
   "source": [
    "def star_color(temp):\n",
    "    if x > 30000:\n",
    "        return 'Blue'\n",
    "    elif 30000 >= temp > 10000:\n",
    "        return 'Blue_white'\n",
    "    elif 10000 >= temp > 7400:\n",
    "        return 'White'\n",
    "    elif 7400 >= temp > 6000:\n",
    "        return 'Yellow_white'\n",
    "    elif 6000 >= temp > 5000:\n",
    "        return 'Yellow'\n",
    "    elif 5000 >= temp > 3800:\n",
    "        return 'Orange'\n",
    "    else:\n",
    "        return 'Red'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "2883f5f4",
   "metadata": {},
   "outputs": [],
   "source": [
    "df['color'] = df['color'].str.lower()\n",
    "df['color'] = df['color'].str.strip()\n",
    "df['color'] = df['color'].str.replace('-', ' ').replace('  ', ' ')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "ae9c3cfb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "grouped = df.query('temp > 30000').groupby('color').size()\n",
    "print_pie(grouped)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "06cb7406",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "grouped = df.query('30000 >= temp > 10000').groupby('color').size()\n",
    "print_pie(grouped)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "3169f71b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "grouped = df.query('10000 >= temp > 7400').groupby('color').size()\n",
    "print_pie(grouped)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "c021a8b6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "grouped = df.query('7400 >= temp > 6000').groupby('color').size()\n",
    "print_pie(grouped)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "7acb48b5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "grouped = df.query('6000 >= temp > 5000').groupby('color').size()\n",
    "print_pie(grouped)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "838e26b0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "grouped = df.query('5000 >= temp > 3800').groupby('color').size()\n",
    "print_pie(grouped)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "dbad5c04",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "grouped = df.query('temp <= 3800').groupby('color').size()\n",
    "print_pie(grouped)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "00adb4b1",
   "metadata": {},
   "outputs": [],
   "source": [
    "df.loc[df['color'] == 'yellowish' , 'color'] = 'orange'\n",
    "df.loc[df['color'] == 'pale yellow orange', 'color'] = 'white yellow'\n",
    "df.loc[(df['color'] == 'whitish')| (df['color'] == 'yellowish white'), 'color'] = 'white'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "66647487",
   "metadata": {},
   "outputs": [],
   "source": [
    "# df.loc[\n",
    "#     df['color'] == 'Blue ',\n",
    "#     'color'\n",
    "# ] = 'Blue'\n",
    "\n",
    "# # Blue and white\n",
    "# df.loc[\n",
    "#     (df['color'] == 'Blue white') | \n",
    "#     (df['color'] == 'Blue-white') |\n",
    "#     (df['color'] == 'Blue-White') |\n",
    "#     (df['color'] == 'Blue white '), \n",
    "#     'color'\n",
    "# ] = 'Blue White'\n",
    "\n",
    "# # White\n",
    "# df.loc[\n",
    "#     (df['color'] == 'white') |\n",
    "#     (df['color'] == 'Whitish') |\n",
    "#     (df['color'] == 'whitish'),\n",
    "#     'color'\n",
    "# ] = 'White'\n",
    "\n",
    "# # Yellow\n",
    "# df.loc[\n",
    "#     (df['color'] == 'Yellowish White') |\n",
    "#     (df['color'] == 'yellow-white') | \n",
    "#     (df['color'] == 'White-Yellow') |\n",
    "#     (df['color'] == 'Yellow White') |\n",
    "#     (df['color'] == 'yellowish') |\n",
    "#     (df['color'] == 'Yellowish') |\n",
    "#     (df['color'] == 'Pale yellow orange'),\n",
    "#     'color'\n",
    "# ] = 'Yellow'\n",
    "\n",
    "# # Orange and red\n",
    "# df.loc[\n",
    "#     (df['color'] == 'Orange-Red') |\n",
    "#     (df['color'] == 'Orange Red'),\n",
    "#     'color'\n",
    "# ] = 'Orange'\n",
    "# df['color'] = df['temp'].apply(star_color)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "16a486ec",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "grouped = df.groupby('color').size()\n",
    "print_pie(grouped)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "3c504be4",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "interval columns not set, guessing: ['temp', 'luminosity', 'radius', 'magnitude', 'type']\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 504x360 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "phik_overview = df.phik_matrix()\n",
    "phik_overview.round(2)\n",
    "\n",
    "plot_correlation_matrix(\n",
    "    phik_overview.values,\n",
    "    x_labels=phik_overview.columns,\n",
    "    y_labels=phik_overview.index,\n",
    "    vmin=0,\n",
    "    vmax=1\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "abdba06f",
   "metadata": {},
   "source": [
    "Вывод: Была проделана комплексная работа по анализу и предобработке данных. В ходе которой были выявлены и устранены неявные дубликаты в колонке с цветом звезды, также была построена матрица корреляции. Из данной матрицы следует, что все значения мультиколлинеарны - следовательно стоит использовать методы регуляризации параметров или исключение некоторых признаков.\n",
    "Целевая переменная Temperature в основном завит от цвета звезды и её магнитуды, а меньше всего опирается на размер и светимость звезды."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "funded-electric",
   "metadata": {},
   "source": [
    "## Построение базовой нейронной сети"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "forced-concentrate",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>luminosity</th>\n",
       "      <th>radius</th>\n",
       "      <th>magnitude</th>\n",
       "      <th>type</th>\n",
       "      <th>color</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.002400</td>\n",
       "      <td>0.1700</td>\n",
       "      <td>16.12</td>\n",
       "      <td>0</td>\n",
       "      <td>red</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.000500</td>\n",
       "      <td>0.1542</td>\n",
       "      <td>16.60</td>\n",
       "      <td>0</td>\n",
       "      <td>red</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.000300</td>\n",
       "      <td>0.1020</td>\n",
       "      <td>18.70</td>\n",
       "      <td>0</td>\n",
       "      <td>red</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.000200</td>\n",
       "      <td>0.1600</td>\n",
       "      <td>16.65</td>\n",
       "      <td>0</td>\n",
       "      <td>red</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.000138</td>\n",
       "      <td>0.1030</td>\n",
       "      <td>20.06</td>\n",
       "      <td>0</td>\n",
       "      <td>red</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>235</th>\n",
       "      <td>374830.000000</td>\n",
       "      <td>1356.0000</td>\n",
       "      <td>-9.93</td>\n",
       "      <td>5</td>\n",
       "      <td>blue</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>236</th>\n",
       "      <td>834042.000000</td>\n",
       "      <td>1194.0000</td>\n",
       "      <td>-10.63</td>\n",
       "      <td>5</td>\n",
       "      <td>blue</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>237</th>\n",
       "      <td>537493.000000</td>\n",
       "      <td>1423.0000</td>\n",
       "      <td>-10.73</td>\n",
       "      <td>5</td>\n",
       "      <td>white</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>238</th>\n",
       "      <td>404940.000000</td>\n",
       "      <td>1112.0000</td>\n",
       "      <td>-11.23</td>\n",
       "      <td>5</td>\n",
       "      <td>white</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>239</th>\n",
       "      <td>294903.000000</td>\n",
       "      <td>1783.0000</td>\n",
       "      <td>-7.80</td>\n",
       "      <td>5</td>\n",
       "      <td>blue</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>240 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        luminosity     radius  magnitude  type  color\n",
       "0         0.002400     0.1700      16.12     0    red\n",
       "1         0.000500     0.1542      16.60     0    red\n",
       "2         0.000300     0.1020      18.70     0    red\n",
       "3         0.000200     0.1600      16.65     0    red\n",
       "4         0.000138     0.1030      20.06     0    red\n",
       "..             ...        ...        ...   ...    ...\n",
       "235  374830.000000  1356.0000      -9.93     5   blue\n",
       "236  834042.000000  1194.0000     -10.63     5   blue\n",
       "237  537493.000000  1423.0000     -10.73     5  white\n",
       "238  404940.000000  1112.0000     -11.23     5  white\n",
       "239  294903.000000  1783.0000      -7.80     5   blue\n",
       "\n",
       "[240 rows x 5 columns]"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train = df.drop('temp', axis=1)\n",
    "test = df['temp']\n",
    "train"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "75020ac4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0       3068\n",
       "1       3042\n",
       "2       2600\n",
       "3       2800\n",
       "4       1939\n",
       "       ...  \n",
       "235    38940\n",
       "236    30839\n",
       "237     8829\n",
       "238     9235\n",
       "239    37882\n",
       "Name: temp, Length: 240, dtype: int64"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "3cb268bf",
   "metadata": {},
   "outputs": [],
   "source": [
    "categorial_columns = ['type', 'color']\n",
    "numeric_columns = ['luminosity', 'radius', 'magnitude']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "7d1cdffd",
   "metadata": {},
   "outputs": [],
   "source": [
    "X_train, X_test, y_train, y_test = train_test_split(train, test, random_state=RANDOM_STATE)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "8abbfa63",
   "metadata": {},
   "outputs": [],
   "source": [
    "encoder = OneHotEncoder(handle_unknown='ignore')\n",
    "scaler = StandardScaler()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "ff698aec",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "OneHotEncoder(handle_unknown='ignore')"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "encoder.fit(X_train[categorial_columns])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "9cf9651b",
   "metadata": {},
   "outputs": [],
   "source": [
    "X_train_encoded = pd.DataFrame(\n",
    "    encoder.transform(X_train[categorial_columns]).toarray(),\n",
    "    columns=encoder.get_feature_names(categorial_columns),\n",
    "    index=X_train.index\n",
    ")\n",
    "X_train_encoded = pd.concat((X_train[numeric_columns], X_train_encoded), axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "2daf2291",
   "metadata": {},
   "outputs": [],
   "source": [
    "X_test_encoded = pd.DataFrame(\n",
    "    encoder.transform(X_test[categorial_columns]).toarray(),\n",
    "    columns=encoder.get_feature_names(categorial_columns),\n",
    "    index=X_test.index\n",
    ")\n",
    "X_test_encoded = pd.concat((X_test[numeric_columns], X_test_encoded), axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "efe14b4e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(180, 17)"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_train_encoded.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "249e781d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "StandardScaler()"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "scaler.fit(X_train_encoded)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "8080cbf4",
   "metadata": {},
   "outputs": [],
   "source": [
    "X_train_scaled = scaler.transform(X_train_encoded)\n",
    "X_test_scaled = scaler.transform(X_test_encoded)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "1d8d16e7",
   "metadata": {},
   "outputs": [],
   "source": [
    "n_in_neurons, n_out_neurons, num_epochs = X_train_encoded.shape[1], 1, 12001"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "cb5a47ad",
   "metadata": {},
   "outputs": [],
   "source": [
    "X_train = torch.FloatTensor(X_train_scaled)\n",
    "X_test = torch.FloatTensor(X_test_scaled)\n",
    "y_train = torch.FloatTensor(y_train.values)\n",
    "y_test = torch.FloatTensor(y_test.values)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "1870d959",
   "metadata": {},
   "outputs": [],
   "source": [
    "# loss = nn.MSELoss()\n",
    "# Функция для инициализации весов\n",
    "def init_weights(layer):\n",
    "    if type(layer) == nn.Linear:\n",
    "        nn.init.kaiming_uniform_(\n",
    "            layer.weight,\n",
    "            mode='fan_in',\n",
    "            nonlinearity='relu'\n",
    "        )\n",
    "\n",
    "def net_testing(hid1, hid2, out, n_in_neurons, n_hidden_neurons_1, n_hidden_neurons_2, n_out_neurons, num_epochs):\n",
    "    # optimizer = torch.optim.Adam(net.parameters(), lr=1e-3)\n",
    "\n",
    "    loss = nn.MSELoss()\n",
    "    net = nn.Sequential(\n",
    "        nn.Linear(n_in_neurons, n_hidden_neurons_1),\n",
    "        hid1,\n",
    "        nn.Linear(n_hidden_neurons_1, n_hidden_neurons_2),\n",
    "        hid2,\n",
    "        nn.Linear(n_hidden_neurons_2, n_out_neurons), \n",
    "        out)\n",
    "    # Инициализация весов нейросети\n",
    "    # net.apply(init_weights)\n",
    "\n",
    "    optimizer = torch.optim.Adam(net.parameters(), lr=1e-3)\n",
    "    for epoch in range(num_epochs):\n",
    "        optimizer.zero_grad()\n",
    "\n",
    "        preds = net.forward(X_train).flatten()\n",
    "        \n",
    "        loss_value = loss(preds, y_train)\n",
    "#         l1_lambda = 0.0005\n",
    "#         l1_norm = sum(p.abs().sum() for p in net.parameters())\n",
    "#         l2_lambda = 0.001\n",
    "#         l2_norm = sum(p.pow(2.0).sum() for p in net.parameters())\n",
    "#         loss_value = loss_value + l1_lambda * l1_norm + l2_lambda * l2_norm\n",
    "\n",
    "        loss_value.backward()\n",
    "\n",
    "        optimizer.step()\n",
    "        if epoch % 200 == 0 or epoch == num_epochs - 1:\n",
    "            net.eval()\n",
    "    test_preds = net.forward(X_test).flatten()\n",
    "    print(f'1-й слой: {hid1}, 2-й слой {hid2}, выход {out}')\n",
    "    print(f'1-й слой: {n_hidden_neurons_1} нейронов, 2-й слой {n_hidden_neurons_2} нейронов')\n",
    "    result = torch.sqrt(loss(test_preds, y_test)).item()\n",
    "    print('RMSE =', result, '\\n')\n",
    "    return result, test_preds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7e3fa7c4",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1-й слой: ReLU(), 2-й слой ReLU(), выход ReLU()\n",
      "1-й слой: 6 нейронов, 2-й слой 3 нейронов\n",
      "RMSE = 12185.00390625 \n",
      "\n",
      "1-й слой: ReLU(), 2-й слой ReLU(), выход ReLU()\n",
      "1-й слой: 6 нейронов, 2-й слой 4 нейронов\n",
      "RMSE = 12185.00390625 \n",
      "\n",
      "1-й слой: ReLU(), 2-й слой ReLU(), выход ReLU()\n",
      "1-й слой: 6 нейронов, 2-й слой 5 нейронов\n",
      "RMSE = 12185.00390625 \n",
      "\n",
      "1-й слой: ReLU(), 2-й слой ReLU(), выход ReLU()\n",
      "1-й слой: 6 нейронов, 2-й слой 6 нейронов\n",
      "RMSE = 12185.00390625 \n",
      "\n",
      "1-й слой: ReLU(), 2-й слой ReLU(), выход ReLU()\n",
      "1-й слой: 7 нейронов, 2-й слой 3 нейронов\n",
      "RMSE = 4991.74462890625 \n",
      "\n",
      "1-й слой: ReLU(), 2-й слой ReLU(), выход ReLU()\n",
      "1-й слой: 7 нейронов, 2-й слой 4 нейронов\n",
      "RMSE = 5020.181640625 \n",
      "\n"
     ]
    }
   ],
   "source": [
    "results = []\n",
    "for hid1, hid2, out in (\n",
    "    (nn.ReLU(), nn.ReLU(), nn.ReLU()), \n",
    "    (nn.LeakyReLU(), nn.LeakyReLU(), nn.LeakyReLU()), \n",
    "    (nn.ELU(), nn.ELU(), nn.ELU()), \n",
    "    (nn.ReLU(), nn.LeakyReLU(), nn.ELU()), \n",
    "    (nn.ELU(), nn.ReLU(), nn.LeakyReLU())\n",
    "):\n",
    "    for n_hidden_neurons_1 in range(6, 10):\n",
    "        for n_hidden_neurons_2 in range(3, 7):\n",
    "            result = net_testing(hid1, hid2, out, n_in_neurons, n_hidden_neurons_1, n_hidden_neurons_2, n_out_neurons, num_epochs)\n",
    "            results.append((result[0], hid1, hid2, out, n_hidden_neurons_1, n_hidden_neurons_2, result[1]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "07ad08fc",
   "metadata": {},
   "outputs": [],
   "source": [
    "win1, win2, win3 = sorted(results, key=lambda x: x[0], reverse=False)[: 3]\n",
    "display(win1[:6], win2[:6], win3[:6])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d9c58e83",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Функция для отображения графика \"Факт-Прогноз\"\n",
    "def show_graph(y_pred):\n",
    "    start = 0\n",
    "    end = 30\n",
    "    \n",
    "    basic_df = y_test[start:end]\n",
    "    nn_df = y_pred[start:end]\n",
    "\n",
    "    plt.figure(figsize=(7, 7))\n",
    "    plt.bar(range(start, end), nn_df.detach().numpy(), color='orange', label='Прогноз')\n",
    "    plt.bar(range(start, end), basic_df, color='blue', width=0.5, label='Факт')\n",
    "\n",
    "    plt.legend()\n",
    "    plt.title('Факт-Прогноз', fontsize=16)\n",
    "    plt.xlabel('Номер звезды в таблице данных', fontsize=14)\n",
    "    plt.ylabel('Температура звезды', fontsize=14)\n",
    "    plt.xticks(fontsize=12)\n",
    "    plt.yticks(fontsize=12)\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "204a45dc",
   "metadata": {},
   "source": [
    "## Создание графика \"Факт-Прогноз\" по полученным результатам нейросети"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e9ae0c04",
   "metadata": {},
   "outputs": [],
   "source": [
    "show_graph(win1[6])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8b052ccb",
   "metadata": {},
   "source": [
    "Выберем модель (ELU(alpha=1.0), ReLU(), LeakyReLU(negative_slope=0.01), 9, 4) т.к. она выдаёт лучший результат на тестовой выборке и имеет меньше всего нейронов в скрытых слоях, что уменьшит вероятность переобучения."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "growing-supply",
   "metadata": {},
   "source": [
    "## Улучшение нейронной сети"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "acceptable-forwarding",
   "metadata": {},
   "outputs": [],
   "source": [
    "win1, win2, win3 = sorted(results, key=lambda x: x[0], reverse=False)[: 3]\n",
    "display(win1, win2, win3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "77b11276",
   "metadata": {},
   "outputs": [],
   "source": [
    "def net_result(hid1, hid2, out, n_in_neurons, n_hidden_neurons_1, n_hidden_neurons_2, n_out_neurons, num_epochs):\n",
    "    # optimizer = torch.optim.Adam(net.parameters(), lr=1e-3)\n",
    "\n",
    "    loss = nn.MSELoss()\n",
    "    net = nn.Sequential(\n",
    "        nn.Linear(n_in_neurons, n_hidden_neurons_1),\n",
    "        nn.BatchNorm1d(n_hidden_neurons_1),\n",
    "        hid1,\n",
    "        nn.Linear(n_hidden_neurons_1, n_hidden_neurons_2),\n",
    "        nn.BatchNorm1d(n_hidden_neurons_2),\n",
    "        hid2,\n",
    "        nn.Linear(n_hidden_neurons_2, n_out_neurons), \n",
    "        # nn.BatchNorm1d(n_out_neurons),\n",
    "        out)\n",
    "    # Инициализация весов нейросети\n",
    "    # net.apply(init_weights)\n",
    "\n",
    "    optimizer = torch.optim.Adam(net.parameters(), lr=1e-3)\n",
    "    for epoch in range(num_epochs):\n",
    "        optimizer.zero_grad()\n",
    "\n",
    "        preds = net.forward(X_train).flatten()\n",
    "        \n",
    "        loss_value = loss(preds, y_train)\n",
    "#         l1_lambda = 0.0005\n",
    "#         l1_norm = sum(p.abs().sum() for p in net.parameters())\n",
    "#         l2_lambda = 0.001\n",
    "#         l2_norm = sum(p.pow(2.0).sum() for p in net.parameters())\n",
    "#         loss_value = loss_value + l1_lambda * l1_norm + l2_lambda * l2_norm\n",
    "\n",
    "        loss_value.backward()\n",
    "\n",
    "        optimizer.step()\n",
    "        if epoch % 200 == 0 or epoch == num_epochs - 1:\n",
    "            net.eval()\n",
    "    test_preds = net.forward(X_test).flatten()\n",
    "    print(f'1-й слой: {hid1}, 2-й слой {hid2}, выход {out}')\n",
    "    print(f'1-й слой: {n_hidden_neurons_1} нейронов, 2-й слой {n_hidden_neurons_2} нейронов')\n",
    "    result = torch.sqrt(loss(test_preds, y_test)).item()\n",
    "    print('RMSE =', result, '\\n')\n",
    "    return result, test_preds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "73ef91ee",
   "metadata": {},
   "outputs": [],
   "source": [
    "result = net_result(nn.LeakyReLU(), nn.LeakyReLU(), nn.LeakyReLU(), n_in_neurons, 8, 5, n_out_neurons, 12001)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "accurate-infrastructure",
   "metadata": {},
   "source": [
    "## Выводы"
   ]
  }
 ],
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